select_qpu
This module implements the select_qpu function that allows to the user select a complete QPU. The input of this function is a Python dictionary with the following keys:
- qpu_type
The value is a Python string for selecting the type of QPU. The values can be: c, python, linalg, mps, qlmass_linalg, qlmass_mps for using with pure ideal QPU (the get_qpu function from QQuantLib.qpu.get_qpu module is used for getting the QPU). Additionally, the values can be: ideal for using an ideal qpu with a Toffoli rewritter pluging or noisy for configuring and using a noisy QPU. In both cases the create_qpu function from QQuantLib.qpu.model_noise module is used for creating the QPU.
- t_gate_1qb
For setting the time for the 1-qubit gates (in ns). Only valid if qpu_type is noisy.
- t_gate_2qbs
For setting the time for the 2-qubit gates (in ns). Only valid if qpu_type is noisy.
- t_readout
For setting the time for the measuring operations (in ns). Only valid if qpu_type is noisy.
- depol_channel
For setting the parameters for a depolarizing channel. The value is a complete dictionary with the following keys: active the boolean key for activating or not the channel. error_gate_1qb error for 1-qubit gates. error_gate_2qbs error for 2-qubits gates.
- idle
For setting the parameters for idle qubits. The value is a complete dictionary with the following keys: amplitude_damping the boolean key for activating or not an Amplitude Damping channel. dephasing_channel boolean key for activating or not a Dephasing channel. t1 time T1 of the qubits (in ns) t2 time T2 of the qubits (in nsa).
- meas
For setting the parameters for a measuring error. The value is a complete dictionary with the following keys: active boolean key for activating or not this error. readout_error measuring error.
- QQuantLib.qpu.select_qpu.select_qpu(hw_cfg)
This function allows to select a QPU (a ideal or a noisy one).
- Parameters:
hw_cfg (dict) – Python dictionary for configuring a complete (ideal or noisy) QPU. When an “ideal” QPU is selected the get_qpu from get_qpu module is used. If a “noisy” QPU is selected then the differents keys of the dictionary are used for configruing a noisy hardware model using functions from model_noise module.